Senior Manager - Data Engineering [T500-19639]

About McDonald’s:

One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Position Summary:

The Senior Manager of Data Engineering Excellence leads and manages high-performing data engineering teams, solve key enterprise data problems for Global & Local markets, ensuring the delivery of robust, scalable, and secure data systems aligned with business goals. This role drives operational efficiency, standardization, data accessibility, and solves complex data problems (business; operational, transactional). It requires strong technical leadership, team development, and the ability to influence strategic direction across the data engineering domain. Expertise in cloud computing platforms, technologies and data engineering best practices will be crucial for this role.

Who we are looking for:

Primary Responsibilities:

• Oversee the design and implementation of scalable data systems to ensure efficient data flow and accessibility.
• Develop strategies for scaling data products across the organization, ensuring solutions are adaptable and future-ready
• Identify and implement process improvement opportunities and modernize data engineering practices.
• Act as the technical subject matter expert (SME) for development squads, providing guidance on architecture, design, and best practices
• Ensure data quality and integrity through audits, validation processes, and governance frameworks.
• Collect feedback from business stakeholders and end-users to continuously improve data products and align with evolving business requirements.
• Collaborate with cross-functional teams to ensure data solutions are aligned with business and analytical needs.
• Lead and manage a team of data engineers, providing mentorship, guidance, and technical direction.
• Allocate resources across development teams based on project needs and strategic priorities to maximize efficiency and impact across multiple initiatives.
• Ensure comprehensive documentation for each data product, covering technical specifications, use cases, and performance metrics
• Stay updated with emerging technologies, trends in data engineering and bring relevant advancements / adoption of tools that enhance product development and delivery.
• Regularly report on portfolio progress, performance metrics, and project statuses to executive leadership and key stakeholders.
• Define OKRs and KPIs for EA data, analytics and AI foundations practice and drive measurable outcomes.
• Conduct performance reviews, coach team members, and support career development initiatives.
• Facilitate ongoing training and upskilling for the data engineering team to build future-ready capabilities.
• Ability and flexibility to coordinate and work with teams distributed across time zones, as needed.

Skill:

• Provides technical leadership and drives operational excellence across data engineering
• Bachelor's degree or higher in Computer Science, Engineering, or a related field
• 8+ years of professional experience in data engineering or related domains
• 4+ years of AWS or GCP experience
• Proficient in programming languages (e.g., Python, Java, Scala) and data pipeline orchestration (e.g., Apache Airflow, Luigi)
• Strong experience with distributed systems, big data platforms, and data storage technologies (e.g., Hadoop, Spark, NoSQL)
• Strong knowledge in data architecture, cloud platforms, data pipelines, and software development best practices
• Proven success in managing and scaling data engineering teams in complex environments
• Ability to convey complex technical concepts to non-technical stakeholders and report on project progress effectively
• Ability to manage ad hoc demands along with organizational priorities and set realistic expectations.
• A self-initiated influencer, Systems thinker and strong stakeholder management.
• Exceptional problem-solving and innovation skills with a strategic mindset.

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